Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents

Researchers propose NabaOS, a lightweight verification framework that detects AI agent hallucinations using HMAC-signed tool receipts instead of zero-knowledge proofs. The system achieves 94.2% detection accuracy with <15ms verification time, compared to cryptographic approaches that require 180+ seconds per query.